





import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


__A							   =							logging.get_logger(__name__)



class   _SCREAMING_SNAKE_CASE		(      __SCREAMING_SNAKE_CASE       ):







 '''simple docstring'''

 def __init__(self							:  Optional[int]			,					*UpperCAmelCase_							:  List[str]			,					**UpperCAmelCase_							:  Tuple)			->None:



   '''simple docstring'''



   warnings.warn(
       "The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
       " Please use LayoutLMv2ImageProcessor instead."			,					UpperCAmelCase_			,					)
   super().__init__(*UpperCAmelCase_			,					**UpperCAmelCase_)


from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
   if not (is_transformers_available() and is_torch_available()):
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   from ...utils.dummy_torch_and_transformers_objects import KandinskyPipeline, KandinskyPriorPipeline
else:
   from .pipeline_kandinsky import KandinskyPipeline
   from .pipeline_kandinsky_imgaimg import KandinskyImgaImgPipeline
   from .pipeline_kandinsky_inpaint import KandinskyInpaintPipeline
   from .pipeline_kandinsky_prior import KandinskyPriorPipeline, KandinskyPriorPipelineOutput
   from .text_encoder import MultilingualCLIP




